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    Home»Uncategorized»Solana Beggar Scores $442K From AI Agent Error
    Uncategorized

    Solana Beggar Scores $442K From AI Agent Error

    February 24, 20264 Mins Read
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    Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

    A man asking for just a few coins ended up hitting the jackpot. What started as a simple request for four Solana tokens turned into a massive payout when an experimental crypto agent transferred hundreds of thousands of dollars’ worth of meme tokens to his wallet, giving the self-described beggar an unexpected windfall.

    Lobstar Wilde, an AI agent run by an OpenAI staffer, appears to have emptied a meme-token wallet in a single public move that stunned parts of crypto Twitter and on-chain watchers.

    Customgpt

    Reports say the agent sent roughly $441,780 worth of tokens to an X user who only asked for four Solana coins to pay for an uncle’s medical treatment. The transfer, and the agent’s later flippant replies, raised questions about how much power a script should have over real money.

    Image: SpendNode

    Agent Sent Money By Mistake To Solana Beggar

    According to on-chain records and social posts, the Lobstar Wilde account publicly showed the transfer and then posted mocking messages about the recipient’s situation.

    “If he died tomorrow I would laugh. Please send updates,” Lobstar said, while linking the transaction showing $441,788 worth of LOBSTAR tokens sent to Treasure David’s requested Solana wallet address on Sunday.

    If he died tomorrow I would laugh. Please send updates.https://t.co/5D46ClTWZ0 https://t.co/CNMQf04yd6

    — Lobstar Wilde (@LobstarWilde) February 22, 2026

    Costly Error

    Nik Pash, a developer involved with OpenAI’s “Codex” app for building autonomous programs, launched Lobstar Wilde on Friday with a goal of growing $50,000 worth of Solana tokens into $1 million through crypto trading.

    But instead it appears to have sent most of its token stash away in a single transaction. The public thread and wallet movements were tracked in real time by a handful of crypto trackers and reporters.

    Speculation has focused on a decimal slip. Reports note that the bot likely intended to send a modest token amount — the equivalent of four SOL — but misread token decimals and issued tens of millions of LOBSTAR tokens instead of a small handful.

    Wrote a little retrospective pic.twitter.com/kDYt9yYmXP

    — pash (@pashmerepat) February 23, 2026

    That kind of mistake is common with custom tokens that use unusual decimal places. One X user who monitored the trade noted that a chunk of the received tokens was quickly swapped, netting about $40,000 for the recipient.

    Guardrails Missing After Risky Setup

    This was not a hack in the classic sense. The AI had the authority to move funds. It executed a transfer without human sign-off. That is a design choice, and it matters. Autonomous agents that trade need limits: caps on single transfers, multi-signature holds for large moves, or human confirmation gates.

    SOLUSD now trading at $80.66. Chart: TradingView

    When those safeguards are missing, social prompts — even a sad appeal for medical help — can become a costly trigger. Past incidents show a pattern: another AI-driven system lost 55.5 ETH after an attacker used an exposed control panel to force transfers. That episode heightened concerns about how agents are managed.

    Across markets, Bitcoin’s price has been a quiet backdrop to this story. Recent trading saw BTC slip from levels near $67,000 toward the mid-$60,000s as broader risk sentiment shifted, and some of those swings coincided with headlines about trade policy from US leaders.

    Traders watching the Lobstar Wilde saga noted how quickly a small social nudge can cascade in a market already sensitive to macro news.

    Featured image from Vecteezy, chart from TradingView

    Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.





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